AI Ops Engineer
United StatesJob Description
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About the role
Tapcart has been building a fleet of AI agents that run real work across the company. On the go-to-market side, that means OpenClaw agents and agentic workflows that plug directly into how our Sales, Marketing, Account Management, and Partnerships teams operate.
We're looking for an AI Ops Engineer to partner with the Founder/CEO and VP Operations to build out the skills, workflows, and automations that make those agents genuinely useful. You'll be turning "wouldn't it be great if the agent could just do X" into shipped capability. This is a hands-on builder role: you're writing the agent skills, wiring up the integrations, and closing the loop between what GTM teams need and what the agents can actually do.
It's a rare seat - you'll be at the center of how a company actually operationalizes AI agents, not on the sidelines theorizing about it.
What you'll do
Build and maintain OpenClaw (& other agentic) skills and workflows across the GTM org
Partner with Sales, Marketing, CS/AM, and Partnerships to find high-leverage tasks worth automating, then ship them
Wire agents into the tools GTM already lives in - connecting APIs, data sources, and third-party services
Prototype fast, get it in front of real users, iterate on feedback
Own reliability: when an agent workflow breaks, you diagnose and fix it
Qualifications
0-2 years of experience - new grads and early-career builders welcome!
Hands-on OpenClaw or agentic experience (e.g., Hermes Agent, LangChain, AutoGPT, and custom LLM/API projects) is a must. You've built agent skills/workflows and know how the framework actually behaves, not just in theory. Bonus if you have experience with AI asset generation, security and compliance.
A genuine go-getter - you don't wait to be told what to build. You spot the problem, propose the fix, and ship it.
Comfortable picking up new tools fast (our stack is easy; adaptability matters more than any specific line item on your resume)
Clear communicator who can talk to executives and GTM teams and collaboratively translate their needs into working automation
A Github that is more green than black
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